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  Method and apparatus for distinguishing obscene video using visual featureUSPTO Application #: 20070098267Title: Method and apparatus for distinguishing obscene video using visual feature Abstract: A method and apparatus for generating discriminant functions for distinguishing obscene videos by using visual features of video data, and a method and apparatus for determining whether videos are obscene by using the generated discriminant functions, are provided. The method of generating discriminant functions includes: creating a first frame set by extracting a predetermined number of frames for each video data unit from a group of video data classified as obscene or non-obscene, and creating a second frame set by selecting the frames; generating a frame based discriminant function by extracting visual features of frames of the second frame set, and then generating a first discriminant value by determining whether each frame of the first frame set contains obscene video data; generating a group frame based discriminant function by extracting visual features of a group of frames of the first frame set, and then generating a second discriminant value by determining whether the frames of the group contain obscene video data; and generating a synthetic discriminant function by using the first and second discriminant values as a representative value of the video data. Accordingly, obscene video data stored in a computer system can be automatically and accurately distinguished. (end of abstract) Agent: Blakely Sokoloff Taylor & Zafman - Los Angeles, CA, US Inventors: Seung Min Lee, Taek Yong Nam, Jong Soo Jang, Ho Gyun Lee USPTO Applicaton #: 20070098267 - Class: 382224000 (USPTO) Related Patent Categories: Image Analysis, Pattern Recognition, Classification The Patent Description & Claims data below is from USPTO Patent Application 20070098267. Brief Patent Description - Full Patent Description - Patent Application Claims
CROSS-REFERENCE TO RELATED PATENT APPLICATION [0001] This application claims the benefit of Korean Patent Application No. 10-2005-0101737, filed on Oct. 27, 2005, in the Korean Intellectual Property Office, the disclosure of which is incorporated herein in its entirety by reference. BACKGROUND OF THE INVENTION [0002] 1. Field of the Invention [0003] The present invention relates to a method and apparatus for generating discriminant functions for distinguishing obscene videos by using visual features of video data, and a method and apparatus for determining whether videos are obscene by using the discriminant functions, and more particularly, to a method of distinguishing obscene videos, in which frames of the video data are analyzed according to a conventional image classification method to generate a frame based discriminant value (a feature value) and a group frame based discriminant value (a feature value), and an optimum discriminant function is obtained from the two discriminant values to determine whether all the video data is obscene. [0004] 2. Description of the Related Art [0005] Obscene videos have been distinguished using a conventional image classification method. In this method, still pictures are extracted from video data, and if the still pictures are determined to be obscene, all the video data is determined to be obscene. However, since this method is no different from a method of simply classifying images, it has the drawback that videos may be wrongly determined to be obscene when the image classification is not accurately carried out. SUMMARY OF THE INVENTION [0006] The present invention provides a method and apparatus for generating an optimum discriminant function by creating discriminant values to optimize visual features of video data, after extracting frame based visual features and group frame based visual features. [0007] The present invention also provides a method and apparatus for distinguishing obscene videos, in which frames of input video data are extracted, and visual features of each frame and visual features of each group frame are extracted from the frames of the video data to be compared with the generated discriminant function. [0008] According to an aspect of the present invention, there is provided a method of generating discriminant functions for distinguishing obscene videos using visual features of video data, comprising: creating a first frame set by extracting a predetermined number of frames for each video data unit from a group of video data classified as obscene or non-obscene, and creating a second frame set by selecting the frames; generating a frame based discriminant function by extracting visual features of frames of the second frame set, and then generating a first discriminant value by determining whether each frame of the first frame set contains obscene video data; generating a group frame based discriminant function by extracting visual features of a group of frames of the first frame set, and then generating a second discriminant value by determining whether the frames of the group contain obscene video data; and generating a synthetic discriminant function by using the first and second discriminant values as a representative value of the video data. [0009] According to another aspect of the present invention, there is provided an apparatus for generating discriminant functions for distinguishing obscene videos using visual features of video data, comprising: a frame set generator which categorizes videos and then generates a first frame set including a predetermined number of frames and a second frame set including frames selected from the first frame set; a discriminant value generator which extracts visual features of frames of the second frame set and then generates a first discriminant value by generating a frame based discriminant function and determining whether each frame of the first frame set contains obscene video data; a group frame based discriminant value generator which creates a group of frames included in the first frame set, then generates a group frame based discriminant function by extracting visual features of the group, and then determines whether each frame of the group contains obscene video data; and a third discriminant function generator to which the first and second discriminant values are input and which generates a synthetic discriminant function by using a statistical discriminant analysis method, a machine learning method, or a rule generating method. [0010] According to another aspect of the present invention, there is provided a method of distinguishing obscene videos by using visual features of video data, comprising: generating a first discriminant value by using a frame based discriminant function, a second discriminant value by using a group frame based discriminant function, and a synthetic discriminant value by combining the first discriminant value and the second discriminant value, after frames are extracted from the video data classified as obscene or non-obscene; extracting frames from the input video data requested to be determined as obscene or non-obscene; generating a third discriminant value after determining whether each frame of the input video data contains obscene video data by substituting visual feature values of each frame of the video data into the frame based discriminant function, and generating a fourth discriminant value after determining whether each group frame of the input video data contains obscene video data by substituting visual feature values of group frames selected among from the extracted frames; and combining the third discriminant value and the fourth discriminant value, and determining whether the video data is obscene by substituting the combined value of the third discriminant value and the fourth discriminant value into the synthetic discriminant function. [0011] According to another aspect of the present invention, there is provided an apparatus for distinguishing obscene videos using visual features of video data after receiving inputs of a frame based discriminant function, a group frame based discriminant function, and a synthetic discriminant function, which are generated on the basis of visual features of frames of the video data, the apparatus comprising: a frame extractor which extracts a predetermined number of frames from the input video data; an input frame feature unit which extracts a frame based first visual feature and a group frame based second visual feature from the extracted frames; a third discriminant value generator which determines whether the extracted frames contain obscene video data by substituting the first visual feature into the frame based discriminant function and then generates a third discriminant value; a fourth discriminant value generator which determines whether the extracted frames contain obscene video data by substituting the second visual feature into the group frame based discriminant function and then generates a fourth discriminant value; and an obscenity determination unit which combines the third and fourth discriminant values and then substitutes the combined value into the synthetic discriminant function to determine whether the input video data is obscene. BRIEF DESCRIPTION OF THE DRAWINGS [0012] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings in which: [0013] FIG. 1A is a flowchart of a method of generating discriminant functions for distinguishing obscene videos using visual features, according to an embodiment of the present invention; [0014] FIG. 1B is a flowchart of a method of determining whether input video data is obscene, according to an embodiment of the present invention; [0015] FIG. 1C is a flowchart of a method of distinguishing obscene videos using visual features and the process of generating discriminant functions, according to an embodiment of the present invention; [0016] FIG. 2 shows the process of generating the frame based discriminant value X of FIG. 1; [0017] FIG. 3 shows the process of generating the group frame based discriminant value Y of FIG. 1; [0018] FIG. 4 shows a method of generating the synthetic discriminant function of FIG. 1; [0019] FIG. 5 shows the process of distinguishing obscene videos of FIG. 1; [0020] FIG. 6 shows a distribution of feature values of one frame used to obtain group frame feature values; Continue reading... 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